A New Aggregation Operator Based on Uninorms in L*-Fuzzy Set

Authors

Minxia Luo^*, , Yue Zhang, Bei Liu

Department of Information and Computing Science, China Jiliang University, No. 258, Xueyuan Street, Xiasha Higher Education Zone, Hangzhou, 310018, P.R. China

^*Corresponding author. Email: mxluo@cjlu.edu.cn

DOI

10.2991/ijcis.d.201012.004How to use a DOI?

Keywords

Aggregation operator; L*-fuzzy set; Uninorm; Multi-attributes decision-making

Abstract

In practical applications, some existing multi-attribute decision-making methods based on the fuzzy set theory suffer from a lot of shortcomings, namely, incorrect choice preference orders of alternatives are obtained in some cases. In this paper, we construct a new aggregation operator based on uninorms in -fuzzy set theory. The aggregation result depends on arguments that are larger than neutral value, less than neutral value, and incomparable with neutral value, as the frontier between good scores and bad scores. The detailed decision-making procedure based on the proposed aggregation operator, which is shown to be reasonable and effective through examples, is introduced.

Copyright

© 2020 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)
View full text (HTML)

TY  - JOUR
AU  - Minxia Luo
AU  - Yue Zhang
AU  - Bei Liu
PY  - 2020
DA  - 2020/10/22
TI  - A New Aggregation Operator Based on Uninorms in L*-Fuzzy Set
JO  - International Journal of Computational Intelligence Systems
SP  - 1679
EP  - 1686
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.201012.004
DO  - 10.2991/ijcis.d.201012.004
ID  - Luo2020
ER  -